1. 05 6月, 2022 1 次提交
  2. 20 2月, 2022 1 次提交
  3. 19 2月, 2022 1 次提交
    • A
      [Pten]Unify paddle/pten::framework::ddim into pten::ddim (#39614) · 2fe04264
      Aurelius84 提交于
      * Unify paddle/pten::framework::ddim into pten::ddim
      
      * fix paddle namespace
      
      * compile sucessfully
      
      * fix npu src file
      
      * fix conflict
      
      * fix conflict
      
      * fix tensorrt compiler error
      
      * fix conflict
      
      * fix conflict
      
      * fix tesst file conflict
      
      * fix conflict
      
      * fix mlu file conflict
      
      * fix mlu file conflict
      
      * fix cinn header file conflict
      
      * fix conflict
      
      * fix conflict
      
      * fix conflict
      
      * fix conflict
      2fe04264
  4. 18 1月, 2022 1 次提交
  5. 26 5月, 2021 1 次提交
    • W
      optimize OP's compilation time (#32617) · 78ecb668
      wuhuanzhou 提交于
      * optimize OP's compilation time, test=develop
      
      * add more op and run ci test, test=develop
      
      * CUDA Kernel register in cc file, test=develop
      
      * fix macros, test=develop
      
      * fix undefined symbol error, test=develop
      
      * fix compilation error and undefined symbol, test=develop
      
      * fix compilation error on Windows, test=develop
      
      * fix compilation error on Windows, test=develop
      78ecb668
  6. 30 7月, 2020 1 次提交
  7. 15 5月, 2020 1 次提交
  8. 23 2月, 2020 1 次提交
  9. 02 12月, 2019 1 次提交
  10. 24 10月, 2019 1 次提交
  11. 20 9月, 2019 1 次提交
    • Z
      add crop_tensor_op, test=develop, test=document_preview (#19314) · b3888941
      Zhang Ting 提交于
      add crop_tensor op. The main difference with crop is :
      
      1. If the argument shape is a list, each element is an integer or a tensor variable with shape: [1]. This way is suitable for the case that the shape may be changed each iteration.
      
      2. If the argument shape is a variable. Its rank must be 1. In crop op, the rank of shape must be the same as x
      
      offsets can be a list, in which each element is an integer or a tensor variavle with shape: [1].
      b3888941